Fits linear or logistic regression model using Bayesian global-local shrinkage prior hierarchies as described in Polson and Scott (2010) <doi:10.1093/acprof:oso/9780199694587.003.0017>. Handles ridge, lasso, horseshoe and horseshoe+ regression with logistic, Gaussian, Laplace or Student-t distributed targets using the algorithms summarized in Makalic and Schmidt (2016) <arXiv:1611.06649>.
|Author||Daniel F. Schmidt [aut, cph, cre], Enes Makalic [aut, cph]|
|Maintainer||Daniel F. Schmidt <email@example.com>|
|License||GPL (>= 3)|
|Package repository||View on CRAN|
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